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AWS vs CloudGPU: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for AWS and CloudGPU. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute
Provider type
Hyperscaler
Specialist
Founded
2006
Headquarters
Seattle, WA
Billing model
On-demand, Reserved (1yr/3yr), Spot, Savings Plans
On-demand (per-minute)
Min commitment
None (on-demand)
None
Support tier
Basic → Enterprise
Community
Regions
5 regions
1 regions

Strengths & Best For

AWS

AWS EC2 P5 instances are powered by NVIDIA H100 Tensor Core GPUs (up to 8× H100, 640 GB HBM3, 3,200 Gbps EFA networking). P5e and P5en instances use NVIDIA H200 GPUs (up to 8× H200, 1,128 GB HBM3e). P5en adds Gen5 PCIe and third-generation EFA for 35% lower latency. All three families deploy in EC2 UltraClusters scaling to 20,000 GPUs with petabit-scale nonblocking networking delivering 20 exaflops aggregate. SageMaker HyperPod manages resilient training clusters at any scale. Amazon Bedrock provides serverless access to DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, and Writer Palmyra. 30+ global regions with enterprise SLAs.

Strengths
  • P5/P5e/P5en: H100 and H200 in UltraClusters up to 20,000 GPUs
  • 20 exaflops aggregate compute in EC2 UltraClusters
  • 3,200 Gbps EFA networking with GPUDirect RDMA
  • SageMaker HyperPod for resilient distributed training
  • Amazon Bedrock: serverless access to DeepSeek, MiniMax, Kimi, GLM, Palmyra
  • 30+ global regions with enterprise SLAs and compliance certifications
Weaknesses
  • Highest on-demand GPU rates among all providers
  • Complex pricing — on-demand vs reserved vs spot vs savings plans
  • GPU quota increases require support tickets and can take days
Best For
Hyperscale AI training requiring 1,000+ GPUsEnterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Teams already invested in the AWS ecosystemProduction ML inference via SageMaker
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CloudGPU

CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.

Strengths
  • Per-minute billing — pay only for what you use
  • Root SSH access on every instance
  • Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
  • Wide consumer and data-center GPU selection
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • No enterprise SLAs or compliance certifications
  • Region information not published per instance
Best For
Developers wanting per-minute billing with no commitmentTeams running Ollama or ComfyUI workloadsCost-sensitive inference and fine-tuning
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Live GPU Pricing

GPU Model
AWS /hr
A100 40GB
$10.24
$0.79
A100 80GB
$15.36
$1.59

Green = lower price. On-demand hourly rates. Updated every 15 minutes.

Region Coverage

AWS — 5 regions
us-east-1us-west-2eu-west-1ap-southeast-1ap-northeast-1

Popular Comparisons

Key differences

AWS

P5 (H100), P5e/P5en (H200), UltraClusters up to 20,000 GPUs — hyperscale AI infrastructure

CloudGPU

On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates

AttributeAWSCloudGPU
Provider typehyperscalerspecialist
Billing modelOn-demand, Reserved (1yr/3yr), Spot, Savings PlansOn-demand (per-minute)
Min commitmentNone (on-demand)None
Regions5 (us-east-1, us-west-2, eu-west-1, +2)1 (Global)
Support tierBasic → EnterpriseCommunity
Best forHyperscale AI training requiring 1,000+ GPUs, Enterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Developers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloads
Founded / HQ2006 · Seattle, WA ·